Yu Xiaolin, Fu Binfan, Sun Taizhen, Sun Xu
Department of Integrated Chinese and Western Medicine, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.
Front Genet. 2024 Nov 25;15:1449881. doi: 10.3389/fgene.2024.1449881. eCollection 2024.
Diabetes mellitus (DM) is the common comorbidity with lung cancer (LC), and metabolic disorders have been identified as significant contributors to the pathogenesis of both DM and LC. The causality between diabetes mellitus and lung cancer is still controversial. Hence, the causal effects of DM on the risk of LC was systemically investigated, and the mediating role of blood metabolites in this relationship was further explored.
This study utilized a comprehensive Mendelian randomization (MR) analysis to investigate the association between diabetes mellitus and lung cancer. The inverse variance weighted method was employed as the principle approach. MR Egger and weighted median were complementary calculations for MR assessment. A two-step MR analysis was performed to evaluate the mediating effects of blood metabolites as potential intermediate factors. Simultaneously, sensitivity analyses were performed to confirm the lack of horizontal pleiotropy and heterogeneity.
The two-sample MR analysis illustrated the overall effect of type 1 diabetes mellitus (T1DM) on lung squamous cell carcinoma (LUSC) (OR: 1.040, 95% CI: 1.010-1.072, = 0.009). No causal connection was found between T2DM and the subtypes of lung cancer. Two-step MR identified two candidate mediators partially mediating the total effect of T1DM on LUSC, including glutamine conjugate of C6H10O2 levels (17.22%) and 2-hydroxyoctanoate levels (5.85%).
Our findings supported a potentially causal effect of T1DM against LUSC, and shed light on the importance of metabolites as risk factors in understanding this relationship.
糖尿病(DM)是肺癌(LC)常见的合并症,代谢紊乱已被确定为DM和LC发病机制的重要因素。糖尿病与肺癌之间的因果关系仍存在争议。因此,我们系统地研究了DM对LC风险的因果效应,并进一步探讨了血液代谢物在这种关系中的中介作用。
本研究采用综合孟德尔随机化(MR)分析来研究糖尿病与肺癌之间的关联。采用逆方差加权法作为主要方法。MR Egger法和加权中位数法作为MR评估的补充计算方法。进行两步MR分析以评估血液代谢物作为潜在中间因素的中介作用。同时,进行敏感性分析以确认不存在水平多效性和异质性。
两样本MR分析表明1型糖尿病(T1DM)对肺鳞状细胞癌(LUSC)的总体效应(OR:1.040,95%CI:1.010 - 1.072,P = 0.009)。未发现T2DM与肺癌亚型之间存在因果关系。两步MR分析确定了两个候选中介因素,它们部分介导了T1DM对LUSC的总体效应,包括C6H10O2谷氨酰胺共轭物水平(17.22%)和2 - 羟基辛酸水平(5.85%)。
我们的研究结果支持T1DM对LUSC具有潜在因果效应,并揭示了代谢物作为风险因素在理解这种关系中的重要性。